ReviewJournal of molecular medicine (Berlin, Germany)2026
Neutrophil extracellular traps in tumor progression: from mechanistic insights and regulatory factors to clinical detection and diagnosis.
Review in Journal of molecular medicine (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
Funding
Abstract
Neutrophil extracellular traps (NETs), web-like DNA structures released by neutrophils, were initially recognized as key components of the anti-infective immune response but are now implicated in tumor progression. Tumor cells orchestrate the reprogramming of tumor-associated neutrophils (TANs) and trigger NET formation through paracrine signaling, thereby establishing a "tumor cell-TAN-NETs" positive feedback loop. This axis serves not only as a key hub for awakening dormant tumor foci and mediating immune evasion, but also as a core mechanism driving distant metastasis and dictating poor clinical prognosis. Notably, targeted disruption of this axis effectively reverses tumor therapy resistance and significantly sensitizes tumors to radiotherapy, chemotherapy, and immune checkpoint blockade, establishing NETs as novel therapeutic targets poised to overcome the current bottlenecks in cancer treatment. Nevertheless, limitations in detection technologies, prognostic modeling challenges, tumor heterogeneity, and inconsistent research findings constrain clinical translation. Future studies should prioritize optimizing detection methods, conducting rigorous clinical validation, and identifying specific therapeutic targets to accelerate the translational progress of NETs from basic research to clinical practice. This review synthesizes current knowledge on the biological mechanisms, regulatory pathways, and detection approaches of NETs, providing a theoretical basis for their clinical application in precision oncology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.